Repository logo
 
Publication

Tell Me What You’ve Done, and I’ll Predict What You’ll Do: The Role of Motivation and Past Behavior in Exercise Adherence

dc.contributor.authorCid, Luis
dc.contributor.authorMonteiro, Diogo
dc.contributor.authorBento, Teresa
dc.contributor.authorSusano Jacinto, Miguel Ângelo
dc.contributor.authorPereira dos Santos de Sousa Vitorino, Anabela
dc.contributor.authorTeixeira, Diogo S.
dc.contributor.authorDuarte-Mendes, Pedro
dc.contributor.authorBastos, Vasco
dc.contributor.authorCouto, Nuno
dc.date.accessioned2025-08-18T10:44:59Z
dc.date.available2025-08-18T10:44:59Z
dc.date.issued2025-08-01en_US
dc.date.updated2025-08-08T17:19:57Z
dc.description.abstractIntroduction: The main purpose of this study was to test a hierarchical model of motivation that integrates Achievement Goal Theory and Self-Determination Theory to explain and predict exercise adherence. Method: In total, 2180 exercisers (1020 female, 1160 male) aged between 18 and 60 years, from different gyms and health clubs, completed several scales validated in exercise settings, regarding perceived motivational climate, basic psychological need satisfaction, behavioral regulation, and exercise adherence. For the last measure, weekly computer access to a control system over a 6-month period before and after data collection was consulted. Results: Through structural equation models (SEM), it was verified that (1) task-involving climate positively predicted basic psychological needs. In turn, the satisfaction of these needs predicted autonomous motivation, which led to a positive prediction of adherence; (2) a small variation in exercise adherence was explained by the motivational model under analysis. Nevertheless, models significantly improved their analytical power when past adherence was inserted in the model increasing the explained variance in future behavior from 9.2% to 64%. Conclusions: In conclusion, autonomous motivation can predict people's exercise adherence, and past behavior increases that predictive effect. The present study brings scientific evidence to the popular saying "tell me what you've done and, and I'll predict what you'll do".eng
dc.description.versioninfo:eu-repo/semantics/publishedVersion
dc.identifier.citationCid, L.; Monteiro, D.; Bento, T.; Jacinto, M.; Vitorino, A.; Teixeira, D.S.; Duarte-Mendes, P.; Bastos, V.; Couto, N. Tell Me What You’ve Done, and I’ll Predict What You’ll Do: The Role of Motivation and Past Behavior in Exercise Adherence. Healthcare 2025, 13, 1879. https://doi.org/10.3390/ healthcare13151879
dc.identifier.doi10.3390/healthcare13151879en_US
dc.identifier.issn2227-9032en_US
dc.identifier.slugcv-prod-4546797
dc.identifier.urihttp://hdl.handle.net/10400.8/13895
dc.language.isoeng
dc.peerreviewedyes
dc.publisherMDPI
dc.relationUID/04045
dc.relation.hasversionhttps://www.mdpi.com/2227-9032/13/15/1879
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectmotivationen_US
dc.subjectexerciseen_US
dc.subjectphysical activityen_US
dc.subjectbehavior regulationen_US
dc.subjectachievement goal theoryen_US
dc.subjectself-determination theoryen_US
dc.titleTell Me What You’ve Done, and I’ll Predict What You’ll Do: The Role of Motivation and Past Behavior in Exercise Adherenceeng
dc.typeresearch articleen_US
dspace.entity.typePublication
oaire.citation.issue15en_US
oaire.citation.startPage1879
oaire.citation.titleHealthcareen_US
oaire.citation.volume13en_US
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameMonteiro
person.familyNameBento
person.familyNameSusano Jacinto
person.familyNamePereira dos Santos de Sousa Vitorino
person.givenNameDiogo
person.givenNameTeresa
person.givenNameMiguel Ângelo
person.givenNameAnabela
person.identifierF-1202-2015
person.identifier.ciencia-idED1F-6228-E26F
person.identifier.ciencia-id841C-E69A-DF22
person.identifier.ciencia-id0816-8EAF-D4D1
person.identifier.ciencia-id7A1F-3376-604F
person.identifier.orcid0000-0002-7179-6814
person.identifier.orcid0000-0002-9875-6986
person.identifier.orcid0000-0002-1727-3537
person.identifier.orcid0000-0003-4402-1973
person.identifier.scopus-author-id56437945500
rcaap.cv.cienciaidED1F-6228-E26F | Diogo Monteiro
rcaap.rightsopenAccessen_US
relation.isAuthorOfPublication79dcae83-d54a-4acc-a9a1-8268c7776ab9
relation.isAuthorOfPublication080f3573-4b05-43df-96c4-b554dfa56072
relation.isAuthorOfPublicationab5535bd-950a-4507-968c-2fab33b83223
relation.isAuthorOfPublicatione261e982-a5c2-4bbb-9d14-d9b5a41dcf69
relation.isAuthorOfPublication.latestForDiscovery79dcae83-d54a-4acc-a9a1-8268c7776ab9

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Cid_et_al._2025__Healthcare.pdf
Size:
618.69 KB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.33 KB
Format:
Item-specific license agreed upon to submission
Description: